Energy efficient intra-cluster data aggregation technique for wireless sensor network

2020 ◽  
Author(s):  
Anupkumar M. Bongale ◽  
C. R. Nirmala ◽  
Arunkumar M. Bongale
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Aggregation ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Cluster Data ◽  
Aggregation Technique

A Lightweight Secure Data Aggregation Technique for Wireless Sensor Network

2014 ◽  
Author(s):  
Sk. Md. Mizanur Rahman ◽  
Mohammad Anwar Hossain ◽  
Maqsood Mahmud ◽  
Muhammad Imran Chaudry ◽  
Ahmad Almogren ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Secure Data ◽  
Secure Data Aggregation ◽  
Aggregation Technique

Energy Consumption Analysis of Secure and Clustered Wireless Sensor Network

2016 ◽  
pp. 1433-1452
Author(s):  
Ashim Pokharel ◽  
Ethiopia Nigussie
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Aggregation ◽  
Wireless Sensor ◽  
Design Strategies ◽  
Sensor Network Security ◽  
Wireless Sensor Network Security ◽  
Aggregation Technique

Due to limited energy resources, different design strategies have been proposed in order to achieve better energy efficiency in wireless sensor networks, and organizing sensor nodes into clusters and data aggregation are among such solutions. In this work, secure communication protocol is added to clustered wireless sensor network. Security is a very important requirement that keeps the overall system usable and reliable by protecting the information in the network from attackers. The proposed and implemented AES block cipher provides confidentiality to the communication between nodes and base station. The energy efficiency of LEACH clustered network and with added security is analyzed in detail. In LEACH clustering along with the implemented data aggregation technique 48% energy has been saved compared to not clustered and no aggregation network. The energy consumption overhead of the AES-based security is 9.14%. The implementation is done in Contiki and the simulation is carried out in Cooja emulator using sky motes.

Sign in / Sign up

Export Citation Format

Share Document